A Novel Approach of Extracting Opinion Targets and Opinion Words from Online Review

被引:0
|
作者
Tang, Mingshuang [1 ]
Cheng, Hongrong [1 ]
Guo, Yanwei [1 ]
Luo, Jiaqing [1 ]
Zhou, Shijie [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
关键词
opinion mining; sentiment analysis; opinion target; opinion word;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In opinion mining, the precision of extracting opinion words and opinion targets from online review dataset can severely influence the precision of opinion mining systems. In this paper, we propose a graph-based filtering approach to extract effective opinion targets and opinion words from the candidate words, which can be mined by word-based translation model in a monolingual scenario. Experimental results on four real Chinese review datasets show that our approach is promising performance.
引用
收藏
页码:118 / 121
页数:4
相关论文
共 50 条
  • [31] Online public opinion and asset prices: a literature review
    Su, Yaya
    Qu, Yi
    Kang, Yuxuan
    DATA SCIENCE IN FINANCE AND ECONOMICS, 2021, 1 (01): : 60 - 76
  • [32] Identifying Opinion Leaders from Online Comments
    Chen, Yi
    Wang, Xiaolong
    Tang, Buzhou
    Xu, Ruifeng
    Yuan, Bo
    Xiang, Xin
    Bu, Junzhao
    SOCIAL MEDIA PROCESSING, 2014, 489 : 231 - 239
  • [33] Co-Extracting Feature and Opinion Pairs from Customer Reviews using Hybrid Approach
    Nandedkar, Sugandha C.
    Patil, Jayantrao B.
    2018 3RD INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2018,
  • [34] Domain-sensitive Opinion Leader Mining from Online Review Communities
    Miao, Qingliang
    Zhang, Shu
    Meng, Yao
    Yu, Hao
    PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'13 COMPANION), 2013, : 187 - 188
  • [35] Simultaneously Identifying Opinion Targets and Opinion-bearing Words Based on Multi-Features in Chinese Micro-Blog Texts
    Liu, Quanchao
    Huang, Heyan
    Feng, Chong
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2017, 14 (04) : 534 - 542
  • [36] A machine learning approach for opinion mining online customer reviews
    Thai Kim Phung
    Nguyen An Te
    Tran Thi Thu Ha
    2021 21ST ACIS INTERNATIONAL WINTER CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD-WINTER 2021), 2021, : 243 - 246
  • [37] The evolution of online public opinion on earthquakes: a system dynamics approach
    Liu, Jinsi
    Zhu, Shengjiao
    Wang, Zhihua
    Chen, Shixiang
    HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2024, 11 (01):
  • [38] How online review valance affect on consumer opinion evaluation?
    Chen, Jia
    Kou, Gang
    PROMOTING BUSINESS ANALYTICS AND QUANTITATIVE MANAGEMENT OF TECHNOLOGY: 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2016), 2016, 91 : 635 - 641
  • [39] From Unlabelled Tweets to Twitter-specific Opinion Words
    Bravo-Marquez, Felipe
    Frank, Eibe
    Pfahringer, Bernhard
    SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2015, : 743 - 746
  • [40] Analyzing Opinion Spammers' Network Behavior in Online Review Systems
    Choo, Euijin
    2018 IEEE FOURTH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS (IEEE BIGDATASERVICE 2018), 2018, : 270 - 275